Relevant bibliographies by topics / Reliability, Human error, Railway, Maintenance

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Reliability, Human error, Railway, Maintenance'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Reliability, Human error, Railway, Maintenance"

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Rahimi, Masoumeh, Haochen Liu, Isidro Durazo Cardenas, Andrew Starr, Amanda Hall, and Robert Anderson. "A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems." Sensors 22, no. 11 (2022): 4185. http://dx.doi.org/10.3390/s22114185.

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Smart maintenance is essential to achieving a safe and reliable railway, but traditional maintenance deployment is costly and heavily human-involved. Ineffective job execution or failure in preventive maintenance can lead to railway service disruption and unsafe operations. The deployment of robotic and autonomous systems was proposed to conduct these maintenance tasks with higher accuracy and reliability. In order for these systems to be capable of detecting rail flaws along millions of mileages they must register their location with higher accuracy. A prerequisite of an autonomous vehicle is
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Puneetha, Prof. "Railway Track Monitoring System Using Computer Vision." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48665.

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Abstract: Railway track monitoring is a critical aspect of railway infrastructure maintenance, ensuring safe and efficient transportation. Traditional inspection methods often involve manual assessments, which can be time-consuming, labor- intensive, and prone to human error. With advancements in computer vision and artificial intelligence, automated railway track monitoring has emerged as a reliable solution to enhance safety and efficiency. This paper presents a comprehensive analysis of a computer vision-based railway track monitoring system that utilizes image processing and machine learni
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Raza, Ali, Rukhshanda Sehar, Abdul Moiz, Ala Saleh Alluhaidan, Sahar A. El-Rahman, and Diaa Salama AbdElminaam. "Novel conditional tabular generative adversarial network based image augmentation for railway track fault detection." PeerJ Computer Science 11 (June 18, 2025): e2898. https://doi.org/10.7717/peerj-cs.2898.

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Railway track fault recognition is a critical aspect of railway maintenance, aiming to identify and rectify defects such as cracks, misalignments, and wear on tracks to ensure safe and efficient train operations. Classical methods for fault detection, including manual inspections and simple sensor-based systems, face significant challenges, such as high labour costs, human error, and limited detection accuracy under varying environmental conditions. These methods are often time-consuming and unable to provide real-time monitoring, leading to potential safety risks and operational inefficiencie
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Hrishikesh, Jadhav, Garibe Sangmeshwar, Gavhane Sanghapal, Jadhav Vaibhav, and Prof.A.M.Karanjkar. "Deep Learning Based Railway Track Inspection." Advancement in Image Processing and Pattern Recognition 8, no. 2 (2025): 24–28. https://doi.org/10.5281/zenodo.15279370.

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<em>Railway infrastructure is crucial for transportation, requiring regular inspection to ensure safety and efficiency. Traditional inspection methods rely on manual labor, which is both time- consuming and prone to human error. This project presents a Deep Learning-Based Railway Track Inspection System that leverages ResNet-based Convolutional Neural Networks (CNNs) to automate defect detection in railway tracks. Developed using Python and Tkinter, the system integrates computer vision and deep learning techniques to analyze railway track images and classify them into different defect categor
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R, Dr Nelwin Raj N. "Real-Time Railway Track Monitoring Using Yolov8 and Embedded Systems for Automated Defect Detection." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 1856–70. https://doi.org/10.22214/ijraset.2025.68578.

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Abstract: This Railway track monitoring is essential for ensuring the safety, reliability, and longevity of rail transportation infrastructure. Traditional inspection methods such as manual surveys and track circuit-based systems are labour intensive, time consuming, and prone to human error, which results in delayed fault detection and increased maintenance risks. Addressing these challenges, this study presents the Railway Track Monitoring Tool (RT-MT), an intelligent real time defect detection system that integrates machine learning with embedded electronics to enhance railway infrastructur
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Sharma, Rajev Kumar, Ajay Sharma, and Sandeep Kanaujia. "Smart Maintenance of Railway Infrastructure Using Wireless Sensor Networks." International Journal of Experimental Research and Review 46 (December 30, 2024): 113–26. https://doi.org/10.52756/ijerr.2024.v46.009.

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The railway infrastructure is a perfect blend of all branches of engineering. Technology has drastically increased, mainly in the Signalling, Civil, Electrical and Mechanical engineering streams. In the field of Signalling, it has leaped from Mechanical to Electronics Interlocking. Civil engineering has gone from manual track maintenance to high-end mechanized tools. In the field of mechanical engineering, it has progressed from wooden coaches to modern designed (LHB)coaches. In electrical engineering, the technology changed from steam loco to diesel and later electrically powered loco design.
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Dinmohammadi, Fateme. "A risk-based modelling approach to maintenance optimization of railway rolling stock." Journal of Quality in Maintenance Engineering 25, no. 2 (2019): 272–93. http://dx.doi.org/10.1108/jqme-11-2016-0070.

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Purpose Railway transport maintenance plays an important role in delivering safe, reliable and competitive transport services. An appropriate maintenance strategy not only reduces the assets’ lifecycle cost, but also will ensure high standards of safety and comfort for rail passengers and workers. In recent years, the majority of studies have been focused on the application of risk-based tools and techniques to maintenance decision making of railway infrastructure assets (such as tracks, bridges, etc.). The purpose of this paper is to present a risk-based modeling approach for the inspection a
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Bogdanova, Valentina E., Anna A. Zakrevskaia, and Vasiliy V. Serikov. "Errors of professional activity of transport system operators in conditions of high information load." Russian Journal of Occupational Health and Industrial Ecology 63, no. 8 (2023): 545–50. http://dx.doi.org/10.31089/1026-9428-2023-63-8-545-550.

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Introduction. Ensuring traffic safety on the railway network involves the development of complex predictive models that take into account both the state of technology and the influence of the "human factor" in order to minimize the risk of erroneous actions and prevent accidents.&#x0D; The study aims to research the mistakes of railway transport operators (using the example of locomotive crew workers).&#x0D; Materials and methods. The authors have conducted the study on the basis of analysis of the database of erroneous actions of employees of locomotive crews (2020–2021), submitted by the Res
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Consilvio, A., M. Iorani, V. Iovane, M. Sciutto, and G. Sciutto. "Real-time monitoring of the longitudinal strain of Continuous Welded Rail for safety improvement." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 10 (2019): 1238–52. http://dx.doi.org/10.1177/0954409719890166.

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Continuous welded rail maintenance plays a significant role in ensuring high levels of rail traffic and safety. Temperature variations, excessive alignment defects, decreased fastening system resistance and train braking (always in the same stretches and in the same direction) may result in rail buckling or rail breaks. The current traditional monitoring systems and procedures for continuous welded rail consist of programmed discontinuous diagnostic surveys that require personnel intervention on site. Moreover, these traditional systems often imply destructive and invasive operations on the tr
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Ciszewski, Tomasz, Waldemar Nowakowski, and Zbigniew Łukasik. "A fault tree analysis-based method of railway traffic control systems safety assessment (Metoda oceny bezpieczeństwa systemów sterowania ruchem kolejowym z wykorzystaniem FTA)." WUT Journal of Transportation Engineering 128 (March 1, 2020): 49–57. http://dx.doi.org/10.5604/01.3001.0014.0902.

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Railway traffic control and signaling systems are safety-related, and thus it is crucial to provide them with an appropriate level of safety. Technological development has led to an increase in the functionality and reliability of these systems, taking into account the high safety requirements. Therefore, the operations involving the design, construction, and maintenance of railway traffic control and signaling systems should include a safety analysis. The safety analysis of railway traffic and signaling systems assumes that a primary event may cause a series of intermediate events, which then
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Dissertations / Theses on the topic "Reliability, Human error, Railway, Maintenance"

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Abu, Hawwach Mohammed. "Human errors in industrial operations and maintenance." Thesis, Mälardalens högskola, Innovation och produktrealisering, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54794.

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Within maintenance activities and industrial operations, human is subjected to different kind of stresses and situation that could result in mistakes and accidents. The human errors in maintenance and manufacturing are an unexplored latter such that a little focusis invested in this area. The report aims to widen up the understanding of the human error in maintenance and manufacturing area. Aviation and marine operations are the most sectors that are subjected to human errors according tothe literature. There aredifferent types of human error that have effect on quality and overall effectivity
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Rangra, Subeer. "Performance shaping factor based human reliability assessment using valuation-based systems : application to railway operations." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2375/document.

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L'homme reste l'un des éléments essentiels des opérations de transport modernes. Les méthodes d'analyse de la fiabilité humaine (HRA) fournissent une approche multidisciplinaire pour évaluer l'interaction entre les humains et le système. Cette thèse propose une nouvelle méthodologie HRA appelée PRELUDE (Performance shaping factor based human REliability assessment using vaLUation-baseD systems). Les facteurs de performance sont utilisés pour caractériser un contexte opérationnel dangereux. Le cadre de la théorie des fonctions de croyance et des systèmes d'évaluation (VBS) utilise des règles ma
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Mattmuller, Adam. "Nuclear Power Plant Maintenance Improvement via Implementation of Wearable Technology." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461760209.

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Guidi, Giulia. "The importance of human factor and maintenance activities in risk assessment for railway applications." Doctoral thesis, 2022. http://hdl.handle.net/2158/1264674.

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This thesis focuses on the importance of human factor and maintenance activities in risk assessment for railway applications. Risk based maintenance is a key factor of RAMS (Reliability, Availability, Maintainability and Safety) for railway. One of the widest used techniques to evaluate the optimal maintenance policy of complex systems is the RCM (Reliability Centred Maintenance). This procedure starts from a failure analysis before individuating the optimal maintenance operation focusing on a decision diagram which is very vague and subjective. Trying to solve this problem, the first part o
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Islam, TMR. "Human reliability assessments for the maintenance operation of marine systems." Thesis, 2017. https://eprints.utas.edu.au/23790/7/Islam_whole_thesis_ex_pub_mat.pdf.

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Human intervention plays a critical role in the maintenance operations of marine systems. Consequently human factors are identified as one of the main causes of accidents in marine systems especially during maintenance operations. Characterisation and assessments of human factors in the form of Human Reliability Assessment (HRA) is an important step to better understand accident causation during maintenance operations. This would help minimize human errors and enhance overall safety and reliability of the marine systems. The International Maritime Organization (IMO) recommends implementing HRA
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Books on the topic "Reliability, Human error, Railway, Maintenance"

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S, Dhillon B. Human reliability, error, and human factors in power generation. Springer, 2014.

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Schneider, Jörg, and Ton Vrouwenvelder. Introduction to safety and reliability of structures. 3rd ed. International Association for Bridge and Structural Engineering (IABSE), 1997. http://dx.doi.org/10.2749/sed005.

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&lt;p&gt;Society expects that buildings and other structures are safe for the people who use them or who are near them. The failure of a building or structure is expected to be an extremely rare event. Thus, society implicitly relies on the expertise of the professionals involved in the planning, design, construction, operation and maintenance of the structures it uses.&lt;p&gt;Structural engineers devote all their effort to meeting society’s expectations effi ciently. Engineers and scientists work together to develop solutions to structural problems. Given that nothing is absolutely and etern
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Dhillon, B. S. Human Reliability, Error, and Human Factors in Engineering Maintenance. CRC Press, 2009. http://dx.doi.org/10.1201/9781439803844.

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Human reliability, error, and human factors in engineering maintenance: With reference to aviation and power generation. Taylor & Francis, 2009.

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Dhillon, B. S. Human Reliability, Error, and Human Factors in Engineering Maintenance: With Reference to Aviation and Power Generation. Taylor & Francis Group, 2009.

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Dhillon, B. S. Human Reliability, Error, and Human Factors in Engineering Maintenance: With Reference to Aviation and Power Generation. Taylor & Francis Group, 2009.

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Book chapters on the topic "Reliability, Human error, Railway, Maintenance"

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Dhillon, B. S. "Human Error in Power Plant Maintenance." In Springer Series in Reliability Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04019-6_10.

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Dhillon, B. S. "Human Reliability and Error in Maintenance." In Handbook of Maintenance Management and Engineering. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-472-0_25.

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Hunter, Josh, and John McDermid. "Investigating Human Error Within GoA-2 Metro Lines." In Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05814-1_13.

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Lu, Yi, Huayan Huangfu, Shuguang Zhang, and Shan Fu. "Organizational Risk Dynamics Archetypes for Unmanned Aerial System Maintenance and Human Error Shaping Factors." In Advances in Human Error, Reliability, Resilience, and Performance. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20037-4_7.

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Rai, Rajiv Nandan, and Garima Sharma. "Human Reliability Analysis Technique Selection for Life Support Systems Maintenance of Orbital Space Stations Using Fuzzy AHP and ANN." In Advances in Human Error, Reliability, Resilience, and Performance. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94391-6_13.

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Ayele, Y., and A. Barabadi. "Human error probability estimation of maintenance activities in cold operating environment based on Bayesian network." In Risk, Reliability and Safety: Innovating Theory and Practice. CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-141.

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Schimanek, Robert, Pinar Bilge, and Franz Dietrich. "Inspection in High-Mix and High-Throughput Handling with Skeptical and Incremental Learning." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2023. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74010-7_26.

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Abstract In the circular economy, remanufacturing success relies heavily on the accurate identification and classification of used products. Processes, which rely on worker experience, lack objective validation, leading to the potential for mislabeling and inaccurate damage assessment. This, in turn, results in additional manual evaluations and unproductive costs, which run counter to the principles of sustainability. To address these issues, machine learning and artificial intelligence have been applied with promising results. However, producing reliable large amounts of labeled data remains
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"Human Error in Maintenance." In Human Reliability, Error, and Human Factors in Engineering Maintenance. CRC Press, 2009. http://dx.doi.org/10.1201/9781439803844.ch5.

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"Human Error in Engineering Maintenance." In Maintainability, Maintenance, and Reliability for Engineers. CRC Press, 2006. http://dx.doi.org/10.1201/9781420006780.ch15.

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"Human Error in Aviation Maintenance." In Human Reliability, Error, and Human Factors in Engineering Maintenance. CRC Press, 2009. http://dx.doi.org/10.1201/9781439803844.ch8.

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Conference papers on the topic "Reliability, Human error, Railway, Maintenance"

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Rangelov, Damjan, Aleksandar Miltenović, Dušan Stamenković, Lazar Stojanović, and Marko Perić. "Preventive maintenance in railway vehicles using new technologies." In Proceeding of scientific-expert Conference on Railway Railcon '24. University of Niš - Faculty of Mechanical Engineering, Niš, 2024. http://dx.doi.org/10.5937/railcon24123r.

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Preventive maintenance is essential for the safe and efficient operation of railway vehicles. This paper introduces a laser scanner system developed to measure critical wheel profile parameters, including the qR value (wheel profile conformity index), flange height (Sh), and flange thickness (Sd). These parameters are crucial for monitoring wheel wear and ensuring proper wheel-rail interaction. The laser scanning system provides real-time, high-precision measurements, enabling early detection of wear patterns that could lead to failures if left unaddressed. This non-contact, automated technolo
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Cui, Yuanding, Xuelei Meng, and Bingmou Cui. "Human reliability analysis of operation and maintenance of railway signal and communication." In 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), edited by Yongkang Xing. SPIE, 2021. http://dx.doi.org/10.1117/12.2620004.

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Yang, Zaili, Jin Wang, Merzouki Rochdi, and Ouldbouamama Belkacem. "Bayesian modelling for human error probability analysis in CREAM." In 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE). IEEE, 2011. http://dx.doi.org/10.1109/icqr2mse.2011.5976584.

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Ding, Yaonan, Shengkui Zeng, Jianbin Guo, and Meirong Yang. "A Method of Error Mode Effect Analysis for a Human-Computer Interaction System in Aviation." In 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE). IEEE, 2019. http://dx.doi.org/10.1109/qr2mse46217.2019.9021249.

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Rýzek, Dušan, and Martin Bugaj. "Maintenance and reliability of aircraft technology." In Práce a štúdie. University of Zilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.2.36.

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The paper deals with the maintenance and influencing the human factor in aircraft maintenance. The work is divided into three basic parts. In the first part of the paper, the aim was to describe the maintenance from a historical point of view, to describe the individual stages of maintenance and to summarize how to maintain the years of development. We also have specified individual types of maintenance, maintenance intervals. The most extensive part in the theory are the laws and regulations that must comply with when performing maintenance in the Slovak Republic. This part is indeed included
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Momin, Geoffrey, Raj Panchal, Daniel Liu, and Sharman Perera. "Case Study: Enhancing Human Reliability With Artificial Intelligence and Augmented Reality Tools for Nuclear Maintenance." In ASME 2018 Power Conference collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/power2018-7495.

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Human error accounts for about 60% of the annual power loss due to maintenance incidents in the fossil power industry. The International Atomic Energy Agency reports that 80\% of industrial accidents in the nuclear industry can be attributed to human error and 20\% to equipment failure. The Personal Augmented Reality Reference System (PARRS) is a suite of computer-mediated reality applications that looks to minimize human error by digitizing manual procedures and providing real-time monitoring of hazards present in an environment. Our mission is to be able to provide critical feedback to infor
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Passalacqua, Roberto, and Fumiaki Yamada. "Human Reliability and the Current Dilemma in Human-Machine Interface Design Strategies." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22061.

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Since human error dominates the probability of failures of still-existing human-requiring systems (as the Monju reactor), the human-machine interface needs to be improved. Several rationales may lead to the conclusion that “humans” should limit themselves to monitor the “machine”. For example, this is the trend in the aviation industry: newest aircrafts are designed to be able to return to a safe state by the use of control systems, which do not need human intervention. Thus, the dilemma whether we really need operators (for example in the nuclear industry) might arise. However, social-technic
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Tze Fung Lam, Steven, and Alan H.S. Chan. "Human reliability analysis in aviation accidents: A review." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003550.

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In the civil aviation sector, human factors is the primary cause of many safety incidents. Aircraft flying, maintenance, and operations are the major tasks that are heavily dependent on professionals; thus, they are subject to human error probability. Human reliability analysis (HRA), which can evaluate human state and managing risk, has been developed over the years to identify, predict, and reduce human failures throughout aircraft operating procedures. Different generations of HRA tools have been developed to quantify the risks that are associated with safety accidents, including such as th
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Gildersleeve, Matthew, and Christian Wullems. "A Human Factors Investigation Into the Unavailability of Active Warnings at Railway Level Crossings." In 2012 Joint Rail Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/jrc2012-74177.

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This paper discusses human factors issues of low cost railway level crossings in Australia. Several issues are discussed in this paper including safety at level railway crossings, human factors considerations associated with the unavailability of a warning device, and a conceptual model for how safety could be compromised at railway level crossings following prolonged or frequent unavailability. The current paper summarises and extends pertinent literature that must be considered for effective interventions to improve safety and to advance our theoretical understanding of human behaviour at le
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Yin, Zijian, Hongchao Zhang, Peng Cheng, Peiyuan Wang, and Zhizhong Li. "Nuclear Power Plant Maintenance and Commissioning Activities from the Perspective of HRA: A Comparative Study." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004878.

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The recent Human Reliability Analysis (HRA) method developed by U.S. Nuclear Regulatory Commission, Integrated Human Event Analysis System (IDHEAS), provides a well-grounded model to analyze human errors as well as a promising interface for generalizing and integrating human error data from various sources. Nevertheless, the task context and human performance in different domains, even in different applications within one domain, manifest quite different features which make it elusive to draw an inter-sector or inter-application comparison. In light of this contradiction, one question arises:
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